117例晚期口腔鳞状细胞癌的独立预后因素及生存预测模型

Ding Hong-zhong, XU Cong-ping, Zhou Yong-min
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引用次数: 0

摘要

目的探讨晚期口腔鳞状细胞癌(OSCC)的独立预后因素,建立生存预测模型。方法详细收集177例晚期OSCC患者入院时的一般资料及既往病史。所有患者均行根治性切除。术后根据患者情况分别应用羟基campothecin (HCPT)、平阳霉素(PYM)进行放疗和化疗。所有患者术后随访5年,分析5年生存率及影响预后的危险因素。数据采用SPSS 20.0软件包进行分析。结果随访期间其他原因死亡2例,失访排除4例,剩余111例死亡42例,存活69例,总生存率为62.16%。不同年龄、T期、M期晚期OSCC患者的生存状况差异无统计学意义(P>0.05),不同性别、组织分化程度、N期、化疗方案患者的生存状况差异有统计学意义(P>0.05)。性别、N分期、HCPT联合PYM化疗的生存曲线对晚期OSCC患者的生存有一定的预测价值。结论性别、N分期及HCPT联合PYM化疗是影响晚期OSCC患者生存的独立危险因素,其生存曲线可作为生存预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Independent prognostic factors and survival prediction model for 117 patients with advanced oral squamous cell carcinoma
PURPOSE To investigate the independent prognostic factors and establish survival prediction model for advanced oral squamous cell carcinoma (OSCC). METHODS At the time of admission, the general information and past medical history of 177 patients with advanced OSCC were collected in detail. All patients underwent radical resection. After surgery, radiotherapy and chemotherapy with hydroxycampothecin (HCPT) and pingyangmycin (PYM) were performed according to the patient's condition. All patients were followed up for 5 years after surgery, and the survival rate during that period and the risk factors for prognosis were analyzed. The data were analyzed by SPSS 20.0 software package. RESULTS During the follow-up period, 2 patients died due to other causes, 4 were excluded due to lost to follow-up, 42 of the remaining 111 patients died, 69 survived, the total survival rate was 62.16%. The survival status of patients with advanced OSCC with different age, T stage and M stage had no significant difference (P>0.05), while significant difference was found among patients with different gender, tissue differentiation degree, N stage and chemotherapy (P 0.05). The survival curves of gender, N stage and HCPT in combination of PYM chemotherapy had certain predictive value on the survival of patients with advanced OSCC. CONCLUSIONS Gender, N stage and HCPT in combination of PYM chemotherapy are independent risk factors for the survival of patients with advanced OSCC, and their survival curves can be used as a survival prediction model.
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